CN112398118A - Method, device, equipment and medium for adjusting clear electricity price in flexible load market - Google Patents

Method, device, equipment and medium for adjusting clear electricity price in flexible load market Download PDF

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CN112398118A
CN112398118A CN202011162853.7A CN202011162853A CN112398118A CN 112398118 A CN112398118 A CN 112398118A CN 202011162853 A CN202011162853 A CN 202011162853A CN 112398118 A CN112398118 A CN 112398118A
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time period
market
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陈中飞
白杨
张轩
于鹏
宋慧
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Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The application discloses a method, a device, equipment and a medium for adjusting clear electricity price in a flexible load market, which are used for acquiring power grid operation boundary conditions of an operation day and system main body declaration information, wherein the system main body declaration information comprises the following steps: electricity price cost declaration information; and inputting the power grid operation boundary conditions and the system main body declaration information into a preset spot market clearing model, so that the spot market clearing model updates the model constraint conditions according to the power grid operation boundary conditions, and performs optimization solution in an SCUC/SCED calculation mode according to the model constraint conditions and the model objective function to obtain the marginal electricity price of each flexible load node in the power grid, so that the market clearing electricity price of the flexible load can be adjusted according to the marginal electricity price. According to the method and the device, the shipment market clearing model is established under the condition that the flexible load is considered, the clearing electricity price adjustment of participating the flexible load resource on the demand side in the spot market transaction is realized, and the technical problem that the adjusting capacity of the existing power system is limited is solved.

Description

Method, device, equipment and medium for adjusting clear electricity price in flexible load market
Technical Field
The application relates to the field of power markets, in particular to a method, a device, equipment and a medium for adjusting the price of discharged clear electricity in a flexible load market.
Background
With the rapid development of new loads, such as electric vehicles, energy storage power stations and the like, the ratio of flexible loads in an electric power system gradually rises. The flexible load can interact with the power grid, and the power utilization behavior of the flexible load can be flexibly adjusted within a certain time so as to respond to the price signal. The increase of flexible load greatly enhances the adjustability potential of the demand side, and the flexible load is increasingly concerned as an adjustable load resource.
However, under the current electric power market framework, flexible loads are not considered to participate in market regulation, so that the technical problem that the regulation capacity of an electric power system is limited is caused.
Disclosure of Invention
The application provides a method, a device, equipment and a medium for adjusting the price of the clear electricity discharged from a flexible load market, which are used for solving the technical problem that the adjustment capacity of a power system is limited because the flexible load is not considered to participate in market adjustment under the existing power market framework.
In view of the above, a first aspect of the present application provides a method for adjusting a price of electricity released by a flexible load market, including:
acquiring power grid operation boundary conditions of an operation day and system main body declaration information, wherein the system main body declaration information comprises: electricity price cost declaration information;
inputting the power grid operation boundary conditions and the system main body declaration information into a preset spot market clearing model, enabling the spot market clearing model to update model constraint conditions according to the power grid operation boundary conditions, combining the model constraint conditions with a model objective function according to the model constraint conditions, and performing optimization solution in an SCUC/SCED calculation mode to obtain marginal electricity prices of all flexible load nodes in the power grid so as to adjust the market clearing electricity prices of the flexible loads according to the marginal electricity prices;
wherein, the model constraint condition is a preset constraint condition in the spot market clearing model, and comprises the following steps: flexible load operation constraint, energy-load balance constraint, reserve capacity constraint, conventional power supply unit operation constraint and wind turbine unit operation constraint;
the model objective function is an electricity purchasing cost minimization objective function constructed based on the electricity price cost declaration information in the spot market clearing model.
Preferably, the flexible load operation constraint specifically includes: interruptible load operation constraints and transferable load operation constraints;
wherein the interruptible load operation constraint specifically comprises: the upper and lower limits of interruptible load output force and the number of interruption times are specifically as follows:
(1-I(i1,t))×pmin(i1)≤D1(i1,t)≤(1-I(i1,t))×pmax(i1)(i1＝1,2,...,I1；t＝1,2,...,T)；
Figure BDA0002744890860000021
in the formula I1For the number of interruptible loads, T is the scheduling period, D1(i1T) is the load of the interruptible load during a time period t, I (I)1T) is an interruptible load i1The state variable at the time t is a (0,1) variable; when I (I)1When t) is 1, it represents an interrupt load, D1(i1T) is 0 when I (I)1And t) is 0, indicating no load interruption, then D1(i1,t)＝pmax(i1)，pmax(i1) For interruptible loads i1The capacity of (a); n (i)1) For interruptible loads i in a scheduling period1The highest number of interruptions;
wherein the transferable load operation constraints specifically include: the transferable load output upper and lower limit constraint and the transferable electric quantity constraint specifically comprise:
pmin(i2)≤D2(i2,t)≤pmax(i2)(i2＝1,2,...,I2；t＝1,2,...,T)；
Figure BDA0002744890860000022
in the formula, Q (i)2) For transferring a load i2Total power demand in scheduling period, D2(i2And t) is the load of the transferable load over time period t.
Preferably, the energy-load balancing constraint is in particular:
Figure BDA0002744890860000023
Figure BDA0002744890860000024
in the formula, pe(e, t) is the output of the e-th conventional power supply unit, pw(w, t) is the output of the w-th wind turbine generator in the time period t, D (t) is the load requirement in the time period t, D1(i1T) is the load of the interruptible load during a time period t, D2(i2T) is the load of the transferable load during a time period t, D3(i3And t) is the load of the fixed load at time period t.
Preferably, the wind turbine generator operation constraint specifically includes:
Figure BDA0002744890860000031
in the formula (I), the compound is shown in the specification,
Figure BDA0002744890860000032
for the predicted contribution, p, of the wind farm w over a time period tw(w, t) is the output of the w-th wind turbine generator in the time period tForce.
Preferably, the spare capacity constraint is specifically:
Figure BDA0002744890860000033
in the formula, Re(e, t) is the spare capacity of the conventional energy unit in the time period t,
Figure BDA0002744890860000034
Spare capacity, R, for interruptible load during time ti2(i2T) is the spare capacity of the transferable load in time period t, and R (t) is a preset spare capacity threshold.
Preferably, the conventional power supply unit operation constraint specifically includes: conventional power supply unit output upper and lower limit constraint, climbing rate constraint and minimum start-up and shut-down time constraint
The conventional power supply unit output upper and lower limit constraints are specifically as follows:
Figure BDA0002744890860000035
in the formula, pe(e, t) is the output of the e-th conventional power supply unit in the time period t,
Figure BDA0002744890860000036
is the lower limit of the output power of the conventional power supply unit,
Figure BDA0002744890860000037
is the upper limit of the output of the conventional power supply unit, Re(e, t) is the spare capacity of the conventional energy unit in the time period t,
Figure BDA0002744890860000038
is the lower limit of the spare capacity of the conventional energy unit,
Figure BDA0002744890860000039
is the upper limit of the spare capacity of the conventional energy unit.
Preferably, the conventional power supply unit operation constraint further includes:
Figure BDA00027448908600000310
wherein Q (h) is the upper limit of the daily generated energy of the h hydroelectric generating set, ph(h, t) is the output of the h hydroelectric generating set in the time period t, RhAnd (h, t) is the spare capacity of the h hydroelectric generating set in the time period t.
The application second aspect provides a clear electricity price adjusting device is appeared in flexible load market, includes:
the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring power grid operation boundary conditions of an operation day and system main body declaration information, and the system main body declaration information comprises: electricity price cost declaration information;
the model operation unit is used for inputting the power grid operation boundary conditions and the system main body declaration information into a preset spot market clearing model, so that the spot market clearing model updates model constraint conditions according to the power grid operation boundary conditions, and performs optimization solution in an SCUC/SCED calculation mode according to the model constraint conditions and a model objective function to obtain marginal electricity prices of all flexible load nodes in the power grid so as to adjust the market clearing electricity prices of the flexible loads according to the marginal electricity prices;
wherein, the model constraint condition is a preset constraint condition in the spot market clearing model, and comprises the following steps: flexible load operation constraint, energy-load balance constraint, reserve capacity constraint, conventional power supply unit operation constraint and wind turbine unit operation constraint;
the model objective function is an electricity purchasing cost minimization objective function constructed based on the electricity price cost declaration information in the spot market clearing model.
The present application provides in a third aspect a flexible load market price adjustment apparatus comprising: a memory and a processor;
the memory is used for storing program codes corresponding to the flexible load market clearing price adjusting method in the first aspect of the application;
the processor is configured to execute the program code.
A fourth aspect of the present application provides a storage medium having stored therein program code corresponding to the flexible load market discharge electricity price adjustment method as set forth in the first aspect of the present application.
According to the technical scheme, the method has the following advantages:
based on a mode that typical flexible loads participate in market electricity price adjustment, under the condition that the flexible loads are considered, a spot market clearing model for combined clearing of an energy market and a standby market is established, clearing electricity price adjustment for participating flexible load resources on a demand side in spot market trading is achieved, adjustment potential of the flexible load resources on the demand side is excavated and released, and the technical problem that the adjustment capacity of an existing power system is limited is solved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a method for adjusting the price of electricity discharged from a flexible load market according to the present application;
fig. 2 is a schematic structural diagram of a flexible load market available electricity price adjusting device provided by the present application.
Detailed Description
The embodiment of the application provides a method, a device, equipment and a medium for adjusting the price of the clear electricity in the flexible load market, which are used for solving the technical problem that the adjustment capacity of a power system is limited because the flexible load is not considered to participate in market adjustment in the existing power market framework.
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a first embodiment of the present application provides a method for adjusting a price of electricity discharged from a flexible load market, including:
step 101, acquiring power grid operation boundary conditions of an operation day and system main body declaration information, wherein the system main body declaration information comprises: and reporting information of electricity price cost.
It should be noted that the cost of the flexible load is divided into two parts, namely electricity consumption cost and opportunity cost, the electricity consumption cost is related to the response quantity of the load, and the response quantity of the load is related to the electricity price. To simplify the modeling process, it is reasonable to assume that the response of the flexible load is linearly related to the electricity price, and define the sensitivity factor of the load response to the electricity price, i.e. the load elastic coefficient alphar、βr. In addition to the cost of electricity, compliant load response also incurs a corresponding opportunity cost, both of which contribute to the cost of the compliant load.
More specifically, assuming that the response of the flexible load is linearly related to the electricity price, the response of the flexible load can be represented by the following equation:
Pr,t＝αr×cr，t+βr (1)
in the formula, Pr,tThe response quantity of the r flexible load in the market at the time t is shown, and is mainly linearly related to the electricity price; c. Cr,tRepresenting the clear electricity price of the load r at the time t; alpha is alphar、βrThe price elastic coefficient represents the sensitivity degree of the response quantity of the load r to the electricity price, alphar＜0、βrThe smaller the absolute value is, the less sensitive the load of this type is to the price signal in the market environment.
Based on the above response relationship, the cost of the compliant load can be represented by the following equation:
Cr,t＝cr,t×Pr,t×Δt+fr,t (2)
in the formula, Cr,tRepresents the cost of the load r at the moment t, and comprises two parts of electricity cost and opportunity cost, wherein fr,tThe opportunity cost of the load r at the time t; at is the time interval over which the compliant load response lasts.
The cost function for a flexible load obtained by substituting equation (1) into equation (2) is as follows:
Cr,t＝αr×cr,t 2×Δt+βr×cr,t×Δt+fr,t (3)
the cost of the flexible load is in a quadratic function form of the electricity price according to the formula, and a user can quote the load according to the formula.
And 102, inputting the power grid operation boundary conditions and the system main body declaration information into a preset spot market clearing model, enabling the spot market clearing model to update model constraint conditions according to the power grid operation boundary conditions, combining the model constraint conditions with a model objective function, and performing optimization solution in an SCUC/SCED calculation mode to obtain the marginal electricity price of each flexible load node in the power grid so as to adjust the market clearing electricity price of the flexible load according to the marginal electricity price.
Wherein, the model constraint condition in the spot market clearing model provided by this embodiment is a preset constraint condition in the spot market clearing model, and includes: flexible load operation constraint, energy-load balance constraint, reserve capacity constraint, conventional power supply unit operation constraint and wind turbine unit operation constraint.
The flexible load is divided into an interruptible load and a transferable load, and the interruptible load and the transferable load are modeled respectively to obtain the constraint conditions of the interruptible load and the transferable load respectively. For interruptible load, the upper and lower limit constraints and the constraint of interruption times are mainly considered, and are respectively expressed by the formulas (4) and (5):
(1-I(i1,t))×pmin(i1)≤D1(i1,t)≤(1-I(i1,t))×pmax(i1)(i1＝1,2,...,I1；t＝1,2,...,T) (4)
Figure BDA0002744890860000061
wherein the number of interruptible loads is I1T is the scheduling period, I (I)1T) is an interruptible load i1The state variable at the time t is a (0,1) variable; when I (I)1When t) is 1, it represents an interrupt load, D1(i1T) is 0 when I (I)1And t) is 0, indicating no load interruption, then D1(i1,t)＝pmax(i1)，pmax(i1) For interruptible loads i1The capacity of (a); n (i)1) For interruptible loads i in a scheduling period1The highest number of interruptions.
For transferable loads, the upper and lower force limit constraint and the transferable electric quantity constraint are mainly considered, and are respectively shown as formulas (6) and (7):
pmin(i2)≤D2(i2,t)≤pmax(i2)(i2＝1,2,...,I2；t＝1,2,...,T) (6)
Figure BDA0002744890860000078
in formula (7), Q (i)2) For transferring a load i2Total power demand in scheduling period, D2(i2And t) is the load of the transferable load over time period t.
The model objective function is an electricity purchasing cost minimization objective function constructed based on the electricity price cost declaration information in the spot market clearing model.
More specifically, the energy-load balancing constraint may be expressed specifically as:
Figure BDA0002744890860000071
Figure BDA0002744890860000072
in the formula, pe(e, t) is the output of the e-th conventional power supply unit, pw(w, t) is the output of the w-th wind turbine generator in the time period t, D (t) is the load requirement in the time period t, D1(i1T) is the load of the interruptible load during a time period t, D2(i2T) is the load of the transferable load during a time period t, D3(i3And t) is the load of the fixed load at time period t.
The reserve capacity constraint may be represented by:
Figure BDA0002744890860000073
in the formula, Re(e,t)、
Figure BDA0002744890860000074
Respectively representing the spare capacity of the conventional energy unit, the interruptible load and the transferable load in a time period t, wherein R (t) is a preset spare capacity threshold value.
For a conventional power supply unit, the unit output upper and lower limit constraints are also considered:
Figure BDA0002744890860000075
Figure BDA0002744890860000076
Figure BDA0002744890860000077
and (3) slope climbing rate constraint:
Figure BDA0002744890860000081
in the formula (I), the compound is shown in the specification,
Figure BDA0002744890860000082
the upward and downward climbing rates, p, of the e-th generator set respectivelye(e, t) is the output of the e-th conventional power supply unit in the time period of t, UeAnd (e, t) is the voltage of the e-th conventional power supply unit in the t period.
Minimum on-off time constraint:
Figure BDA0002744890860000083
Figure BDA0002744890860000084
in the formula, TU(e)、TD(e) Minimum continuous on-time and minimum continuous off-time for the e-th generator, respectively. I iseAnd (e, t) is the current of the e-th conventional power supply unit in the t period.
For wind power, only upper and lower limit constraints of the unit are considered
Figure BDA0002744890860000085
In the formula (I), the compound is shown in the specification,
Figure BDA0002744890860000086
for the predicted contribution, p, of the wind farm w over a time period twAnd (w, t) is the output of the w-th wind turbine generator in the time period t.
The conventional power supply unit operation constraint also comprises a hydroelectric generating set, and the water quantity constraint of water and electricity needs to be considered because the daily generating capacity of the hydroelectric generating set has an upper limit.
Figure BDA0002744890860000091
Wherein Q (h) is the upper limit of the daily generated energy of the h hydroelectric generating set, ph(h, t) is the output of the h hydroelectric generating set in the time period t, RhAnd (h, t) is the spare capacity of the h hydroelectric generating set in the time period t.
And finally, based on the spot market clearing model and the constraint conditions thereof constructed by the embodiment, according to the acquired market main body electricity price declaration information and the power grid operation boundary conditions of the operation day, optimizing calculation is carried out by adopting a Safety Constraint Unit Combination (SCUC) algorithm and a Safety Constraint Economic Dispatching (SCED) algorithm, and clearing is carried out to obtain the day-ahead market trading result.
Specifically, a node electricity price pricing mechanism is adopted, and after dual multipliers of all constraint conditions are obtained through calculating an SCED model, the marginal electricity price of the node per hour is formed through clearing, so that the clear electricity price of the flexible load on the market can be adjusted according to the marginal electricity price.
The method and the device for adjusting the power price of the spot market are based on a mode that typical flexible loads participate in market power price adjustment, under the condition that the flexible loads are considered, a spot market clearing model for jointly clearing an energy market and a standby market is constructed, the effect that flexible load resources on a demand side participate in clearing power price adjustment of spot market trading is achieved, the adjusting potential of the flexible load resources on the demand side is excavated and released, and the technical problem that the adjusting capacity of an existing power system is limited is solved.
Meanwhile, by applying the spot market clearing model of the embodiment, the dynamic adjustment of the spot market clearing price can be further flexibly loaded by utilizing the acquired market main body price declaration information and the power grid operation boundary conditions of the operation day, and the clearing price adjustment efficiency is improved.
The above is a detailed description of an embodiment of a flexible load market clear electricity price adjustment method provided by the present application, and the following is a detailed description of an embodiment of a flexible load market clear electricity price adjustment device provided by the present application.
Referring to fig. 2, a second embodiment of the present application provides a flexible load market price adjustment device, including:
the data obtaining unit 201 is configured to obtain a power grid operation boundary condition on an operation day and system main body declaration information, where the system main body declaration information includes: electricity price cost declaration information;
the model operation unit 202 is used for inputting the power grid operation boundary conditions and the system main body declaration information into a preset spot market clearing model, so that the spot market clearing model updates model constraint conditions according to the power grid operation boundary conditions, and performs optimization solution in an SCUC/SCED calculation mode according to the model constraint conditions and model objective functions to obtain marginal electricity prices of all flexible load nodes in the power grid, so that the market clearing electricity prices of the flexible loads can be adjusted according to the marginal electricity prices;
wherein, the model constraint condition is the preset constraint condition in the spot market clearing model, and comprises: flexible load operation constraint, energy-load balance constraint, reserve capacity constraint, conventional power supply unit operation constraint and wind turbine unit operation constraint;
the model objective function is an electricity purchasing cost minimization objective function constructed based on the electricity price cost declaration information in the spot market clearing model.
More specifically, the flexible load operation constraints specifically include: interruptible load operation constraints and transferable load operation constraints;
wherein the interruptible load operation constraint specifically comprises: the upper and lower limits of interruptible load output force and the number of interruption times are specifically as follows:
(1-I(i1,t))×pmin(i1)≤D1(i1,t)≤(1-I(i1,t))×pmax(i1)(i1＝1,2,...,I1；t＝1,2,...,T)；
Figure BDA0002744890860000101
in the formula I1For the number of interruptible loads, T is the scheduling period, D1(i1T) is the load of the interruptible load during a time period t, I (I)1T) is an interruptible load i1The state variable at the time t is a (0,1) variable; when I (I)1When t) is 1, it represents an interrupt load, D1(i1T) is 0 when I (I)1And t) is 0, indicating no load interruption, then D1(i1,t)＝pmax(i1)，pmax(i1) For interruptible loads i1The capacity of (a); n (i)1) For interruptible loads i in a scheduling period1The highest number of interruptions;
wherein the transferable load operation constraints specifically include: the transferable load output upper and lower limit constraint and the transferable electric quantity constraint specifically comprise:
pmin(i2)≤D2(i2,t)≤pmax(i2)(i2＝1,2,...,I2；t＝1,2,...,T)；
Figure BDA0002744890860000102
in the formula, Q (i)2) For transferring a load i2Total power demand in scheduling period, D2(i2And t) is the load of the transferable load over time period t.
More specifically, the energy-load balancing constraint is specifically:
Figure BDA0002744890860000103
Figure BDA0002744890860000104
in the formula, pe(e, t) is the output of the e-th conventional power supply unit, pw(w, t) is the output of the w-th wind turbine generator in the time period t, D (t) is the load requirement in the time period t, D1(i1T) is the load of the interruptible load during a time period t, D2(i2T) is the load of the transferable load during a time period t, D3(i3And t) is the load of the fixed load at time period t.
More specifically, the operation constraint of the wind turbine generator is specifically as follows:
Figure BDA0002744890860000111
in the formula (I), the compound is shown in the specification,
Figure BDA0002744890860000112
for the predicted contribution, p, of the wind farm w over a time period twAnd (w, t) is the output of the w-th wind turbine generator in the time period t.
More specifically, the reserve capacity constraint is specifically:
Figure BDA0002744890860000113
in the formula, Re(e, t) is the spare capacity of the conventional energy unit in the time period t,
Figure BDA0002744890860000114
Reserve capacity for interruptible load during time t,
Figure BDA0002744890860000115
For the spare capacity of transferable load in time period t, r (t) is a preset spare capacity threshold.
More specifically, the conventional power supply unit operation constraints specifically include: the method comprises the steps of conventional power supply unit output upper and lower limit constraint, climbing rate constraint and minimum startup and shutdown time constraint.
The conventional power supply unit output upper and lower limit constraints are specifically as follows:
Figure BDA0002744890860000116
in the formula, pe(e, t) is the output of the e-th conventional power supply unit in the time period t,
Figure BDA0002744890860000117
is the lower limit of the output power of the conventional power supply unit,
Figure BDA0002744890860000118
is the upper limit of the output of the conventional power supply unit, Re(e, t) is the spare capacity of the conventional energy unit in the time period t,
Figure BDA0002744890860000119
is the lower limit of the spare capacity of the conventional energy unit,
Figure BDA00027448908600001110
is the upper limit of the spare capacity of the conventional energy unit.
More specifically, the running constraints of the hydroelectric generating set are specifically:
Figure BDA00027448908600001111
wherein Q (h) is the upper limit of the daily generated energy of the h hydroelectric generating set, ph(h, t) is the output of the h hydroelectric generating set in the time period t, RhAnd (h, t) is the spare capacity of the h hydroelectric generating set in the time period t.
The above is a detailed description of an embodiment of the flexible load market fair price adjustment device provided by the present application, and the following is a detailed description of an embodiment of the flexible load market fair price adjustment device and the storage medium provided by the present application.
The third embodiment of this application provides a flexible load market price adjustment equipment of coming clear electricity, includes: a memory and a processor;
the memory is used for storing program codes corresponding to the flexible load market clearing price adjusting method provided by the first embodiment of the application;
the processor is used for executing the program codes to realize the flexible load market discharge price adjusting method provided by the first embodiment of the application.
A fourth embodiment of the present application provides a storage medium, in which program codes corresponding to the flexible load market discharge price adjustment method mentioned in the first embodiment of the present application are stored.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A method for adjusting the price of the clear electricity discharged from the flexible load market is characterized by comprising the following steps:
acquiring power grid operation boundary conditions of an operation day and system main body declaration information, wherein the system main body declaration information comprises: electricity price cost declaration information;
inputting the power grid operation boundary conditions and the system main body declaration information into a preset spot market clearing model, enabling the spot market clearing model to update model constraint conditions according to the power grid operation boundary conditions, combining the model constraint conditions with a model objective function according to the model constraint conditions, and performing optimization solution in an SCUC/SCED calculation mode to obtain marginal electricity prices of all flexible load nodes in the power grid so as to adjust the market clearing electricity prices of the flexible loads according to the marginal electricity prices;
wherein, the model constraint condition is a preset constraint condition in the spot market clearing model, and comprises the following steps: flexible load operation constraint, energy-load balance constraint, reserve capacity constraint, conventional power supply unit operation constraint and wind turbine unit operation constraint;
the model objective function is an electricity purchasing cost minimization objective function constructed based on the electricity price cost declaration information in the spot market clearing model.
2. The method for adjusting the electricity prices discharged from the flexible load market according to claim 1, wherein the flexible load operation constraints specifically comprise: interruptible load operation constraints and transferable load operation constraints;
wherein the interruptible load operation constraint specifically comprises: the upper and lower limits of interruptible load output force and the number of interruption times are specifically as follows:
(1-I(i1,t))×pmin(i1)≤D1(i1,t)≤(1-I(i1,t))×pmax(i1)(i1＝1,2,...,I1；t＝1,2,...,T)；
Figure FDA0002744890850000011
in the formula I1For the number of interruptible loads, T is the scheduling period，D1(i1T) is the load of the interruptible load during a time period t, I (I)1T) is an interruptible load i1The state variable at the time t is a (0,1) variable; when I (I)1When t) is 1, it represents an interrupt load, D1(i1T) is 0 when I (I)1And t) is 0, indicating no load interruption, then D1(i1,t)＝pmax(i1)，pmax(i1) For interruptible loads i1The capacity of (a); n (i)1) For interruptible loads i in a scheduling period1The highest number of interruptions;
wherein the transferable load operation constraints specifically include: the transferable load output upper and lower limit constraint and the transferable electric quantity constraint specifically comprise:
pmin(i2)≤D2(i2,t)≤pmax(i2)(i2＝1,2,...,I2；t＝1,2,...,T)；
Figure FDA0002744890850000012
in the formula, Q (i)2) For transferring a load i2Total power demand in scheduling period, D2(i2And t) is the load of the transferable load over time period t.
3. The method for adjusting the price of electricity discharged from the flexible load market according to claim 1, wherein the energy-load balance constraint is specifically as follows:
Figure FDA0002744890850000021
Figure FDA0002744890850000022
in the formula, pe(e, t) is the output of the e-th conventional power supply unit, pw(w, t) is the output of the w-th wind turbine generator in the time period t, D (t) is the load requirement in the time period t, D1(i1T) is the load of the interruptible load during a time period t, D2(i2T) is the load of the transferable load during a time period t, D3(i3And t) is the load of the fixed load at time period t.
4. The method for adjusting the price of the fresh water discharged from the flexible load market according to claim 1, wherein the operation constraints of the wind turbine generator are specifically as follows:
Figure FDA0002744890850000023
in the formula (I), the compound is shown in the specification,
Figure FDA0002744890850000024
for the predicted contribution, p, of the wind farm w over a time period twAnd (w, t) is the output of the w-th wind turbine generator in the time period t.
5. The method for adjusting the price of electricity released from the flexible load market according to claim 1, wherein the reserve capacity constraint is specifically:
Figure FDA0002744890850000025
in the formula, Re(e, t) is the spare capacity of the conventional energy unit in the time period t,
Figure FDA0002744890850000026
Reserve capacity for interruptible load during time t,
Figure FDA0002744890850000027
For the spare capacity of transferable load in time period t, r (t) is a preset spare capacity threshold.
6. The method for adjusting the price of fresh electricity discharged from the flexible load market according to claim 1, wherein the operational constraints of the conventional power supply unit specifically include: the method comprises the steps of conventional power supply unit output upper and lower limit constraint, climbing rate constraint and minimum startup and shutdown time constraint.
The conventional power supply unit output upper and lower limit constraints are specifically as follows:
Figure FDA0002744890850000028
in the formula, pe(e, t) is the output of the e-th conventional power supply unit in the time period t,
Figure FDA0002744890850000029
is the lower limit of the output power of the conventional power supply unit,
Figure FDA0002744890850000031
is the upper limit of the output of the conventional power supply unit, Re(e, t) is the spare capacity of the conventional energy unit in the time period t,
Figure FDA0002744890850000032
is the lower limit of the spare capacity of the conventional energy unit,
Figure FDA0002744890850000033
is the upper limit of the spare capacity of the conventional energy unit.
7. The method according to claim 6, wherein the conventional power unit operation constraints further comprise:
Figure FDA0002744890850000034
wherein Q (h) is the upper limit of the daily generated energy of the h hydroelectric generating set, ph(h, t) isOutput, R, of the h hydroelectric generating set in time period thAnd (h, t) is the spare capacity of the h hydroelectric generating set in the time period t.
8. A flexible load market price adjustment device that clears electricity, its characterized in that includes:
the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring power grid operation boundary conditions of an operation day and system main body declaration information, and the system main body declaration information comprises: electricity price cost declaration information;
the model operation unit is used for inputting the power grid operation boundary conditions and the system main body declaration information into a preset spot market clearing model, so that the spot market clearing model updates model constraint conditions according to the power grid operation boundary conditions, and performs optimization solution in an SCUC/SCED calculation mode according to the model constraint conditions and a model objective function to obtain marginal electricity prices of all flexible load nodes in the power grid so as to adjust the market clearing electricity prices of the flexible loads according to the marginal electricity prices;
wherein, the model constraint condition is a preset constraint condition in the spot market clearing model, and comprises the following steps: flexible load operation constraint, energy-load balance constraint, reserve capacity constraint, conventional power supply unit operation constraint and wind turbine unit operation constraint;
the model objective function is an electricity purchasing cost minimization objective function constructed based on the electricity price cost declaration information in the spot market clearing model.
9. A flexible load market price adjustment device, comprising: a memory and a processor;
the memory is used for storing program codes corresponding to the flexible load market discharge price adjusting method of any one of claims 1 to 7;
the processor is configured to execute the program code.
10. A storage medium having stored therein a program code corresponding to the flexible load market price adjustment method according to any one of claims 1 to 7.
CN202011162853.7A 2020-10-27 2020-10-27 Method, device, equipment and medium for adjusting clear electricity price in flexible load market Pending CN112398118A (en)

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